Artificial Intelligence and Software Testing: Building systems you can trust

As the title describes, this book is a robust AI and ML testing exploration that also dives into the juxtaposition of the trustworthiness and bias in AI systems. It touches on the basis of ontologies and how to enable the considerable impact of testing and monitoring of AI-based systems. After reading this you would be able to answer an important challenge: how to determine that your AI system has been extensively tested? –Dina Dede, AI/ML and Cloud Architect Lead, UK

AI-based systems conquer more and more areas of our daily life. People are concerned whether these systems are trustworthy. ‘Artificial Intelligence and Software Testing’ tackles this issue and provides an insight into AI quality and how it differs from conventional software quality, and where the difficulties and challenges are in testing machine learning systems. A great introduction into this topic and must read for all interested in building AI-based systems that you can trust. –Klaudia Dussa-Zieger, Chair GTB & Vice President ISTQB(R), Head of ISTQB(R) Certified Tester AI Testing (CT-AI) taskforce